Multiple Imputation to Deal with Missing Clinical Data in Rheumatologic Surveys: an Application in the WHO-ILAR COPCORD Study in Iran

Multiple Imputation to Deal with Missing Clinical Data in Rheumatologic Surveys: an Application in the WHO-ILAR COPCORD Study in Iran

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Background: The aim of the article is demonstrating an application of multiple imputation (MI) for handling missing clinical data in the setting of rheumatologic surveys using data derived from 10291 people participating in the first phase of the Community Oriented Program for Control of Rheumatic D...

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Bibliographic Details
Main Authors: M Mirmohammadkhani, A Rahimi Foroushani, F Davatchi, K Mohammad, A Jamshidi, A Tehrani Banihashemi, K Holakouie Naieni
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2012-01-01
Series:Iranian Journal of Public Health
Subjects:
Rheumatology
Osteoarthritis
Missing Data
Imputation
COPCORD
Online Access:https://ijph.tums.ac.ir/index.php/ijph/article/view/2638

Internet

https://ijph.tums.ac.ir/index.php/ijph/article/view/2638

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